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EMR 6500: Survey Research. Dr. Chris L. S. Coryn Kristin A. Hobson Spring 2013. Agenda. Systematic sampling Cluster sampling for means and totals. Systematic Sampling. Systematic Sampling.
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EMR 6500:Survey Research Dr. Chris L. S. Coryn Kristin A. Hobson Spring 2013
Agenda Systematic sampling Cluster sampling for means and totals
Systematic Sampling Systematic sampling simplifies the sample selection process compared to both simple random sampling and stratified random sampling In systematic sampling an interval (k) is used to select sample elements The starting point is (should be) selected randomly
Systematic Sampling • Systematic sampling is a useful alternative to simple random sampling because: • It is easier to perform in the field and less subject to selection errors, especially if a good frame is not available • It can provide greater information per unit cost than simple random samples for populations with certain patterns in the arrangement of elements
1-in-k Systematic Sampling • Divide the population size N by the desired sample size n • Let k = N/n • k must be equal to or less than N/n (i.e., k ≤ N/n) • If N = 15,000 and n = 100, then k≤ 150
1-in-k Systematic Sampling • If N were 1,000 and nwere 100 • k would equal 1,000/100 = 10 • If k = 10, the start value would range between 1 to 10 and all selections thereafter would be every 10th entry on the sampling frame • If the start value was 8, then the next selection would be 18, followed by 28, and so forth
Estimation of a Population Mean *Note: This formula assumes a randomly ordered population
Estimation of a Population Total *Note: This formula assumes a randomly ordered population
Estimation of a Population Proportion *Note: This formula assumes a randomly ordered population
Variance Estimates • Repeated systematic sampling • Divides a systematic sample into smaller systematic samples to approximate a random population • Multiple 1-in-k systematic samples • Successive difference method • A samples of size n yields n-1 successive differences that are used to estimate variance • Best choice when population elements are not randomly ordered
Cluster Sampling Cluster sampling is a probability sampling method in which each sampling unit is a collection, or cluster, of elements Clusters can consist of almost any imaginable natural (and artificial) grouping of elements
Cluster Sampling • Cluster sampling is an effective sampling design if: • A good sampling frame listing population elements is not available or is very costly to obtain, but a frame listing clusters is easily obtained • The cost of obtaining observations increases as the distance separating elements increases
Cluster Sampling Unlike stratified random sampling, in which strata are ideally similar within stratum and where stratum should differ from one another, clusters should be different within clusters and be similar between clusters
Estimation of a Population Mean *Note: takes the form of a ratio estimator, with taking the place of *Note: can be estimated by if M is unknown
Example for a Population Mean *Note: Because M is not known, is estimated by
Example of Estimation of a Population Total that Does not Depend on M
Example of Estimation of a Population Total that Does not Depend on M
Equal Cluster Sizes for Estimating a Population Mean All mi values are equal to a common, or constant, value m In this case, M = Nm, and the total sample size is nm elements (n clusters of m elements each) When cluster sizes are equal m1 = m2 = mN Variance components analysis simplifies estimating the variance using ANOVA methods
ANOVA Method • There are 4,000 households (elements) • There are 400 geographical regions (clusters) • There are 10 households in each region
ANOVA Method *Note: ‘Factor’ denotes between-cluster variation and ‘Error’ denotes within cluster variation
Selecting the Sample Size for Estimating Population Means and Totals
Sample Size for Estimating Population Means Where is estimated by
Example of Sample Size for Estimating Population Means How large a sample should be taken to estimate the average per-capita income with a bound on the error of estimation of B = $500?
Example of Sample Size for Estimating Population Means *Note: Because M is not known, is estimated by
Sample Size for Estimating Population Totals When M is Known Where is estimated by